Certified Data Science Professional

Get global recognition and stand out as a leader in the field of Data Science.

This Certification is Powered by AI

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What Sets Our Program Apart?

  •    E-Learning Library Access
  •    Expertly crafted BOK with ready-to-implement resources
  •    Lifetime Valid Certification with 2 Exam Attempts
  •   Capstone Projects
  •    Generative AI Interview Practice Platform

About Data Science Certification

This Programs includes:

Certification Type

Internationally recognized valid certification program

100% Refund Guarantee

Avail 100% No-Risk Money Back Guarantee

Learning Type

Digital Learning curated by experts.

Book of Knowledge

Curated by industry experts

Downloadable Resources

Templates and case studies

Certification Exam Attempts

2 certification exam attempts with 1 year validity

Capstone Project

Apply Your Skills In Real World Scenario

AI -Based Interview Question

Engage With Real Time AI Interview Questions

Data Scientist Certification Exam Syllabus

1. Data Science Introduction:
  • Overview of Data Science: Definition, Importance, and Applications
  • Key Concepts and Terminology in Data Science
  • The Data Science Lifecycle: Problem Definition, Data Collection, Data Preparation, Data Analysis, and Interpretation
  • Tools and Technologies in Data Science: Python, R, SQL, etc.
  • Introduction to Data Science Roles: Data Scientist, Data Analyst, Data Engineer, and their Responsibilities
2. Probability and Statistics for Data Science:
  • Basic Probability Concepts: Probability Theory, Random Variables, Probability Distributions
  • Statistical Methods: Descriptive Statistics, Inferential Statistics, Hypothesis Testing
  • Correlation and Regression Analysis
  • Bayesian Statistics
  • Importance of Probability and Statistics in Data Science
3. Working with Big Data:
  • Introduction to Big Data: Definition, Characteristics, and Challenges
  • Big Data Technologies: Hadoop, Spark, NoSQL Databases
  • Data Storage Solutions: HDFS, Cassandra, MongoDB
  • Big Data Processing Frameworks: MapReduce, Spark
  • Case Studies and Applications of Big Data
4. Data Extraction and Visualization Techniques:
  • Data Extraction Techniques: Web Scraping, APIs, Databases
  • Data Cleaning and Preparation: Handling Missing Values, Data Transformation, Data Integration
  • Introduction to Data Visualization: Importance, Principles, and Tools
  • Visualization Techniques: Charts, Graphs, Plots, Dashboards
  • Tools for Data Visualization: Matplotlib, Seaborn, Plotly
5. Data Mining and Machine Learning:
  • Fundamentals of Data Mining: Concepts, Techniques, and Applications
  • Machine Learning Overview: Supervised, Unsupervised, and Reinforcement Learning
  • Key Algorithms: Regression, Classification, Clustering, Association
  • Model Evaluation and Validation Techniques
  • Practical Applications of Data Mining and Machine Learning
6. A Statistical Approach for Data Science:
  • Advanced Statistical Methods: Multivariate Analysis, Time Series Analysis, Survival Analysis
  • Statistical Inference: Estimation, Confidence Intervals, Significance Testing
  • Experimental Design and Analysis
  • Statistical Software: R, Python (statsmodels, SciPy)
  • Real-world Applications of Statistical Methods in Data Science
7. Text Mining & NLP:
  • Introduction to Text Mining: Techniques, Applications, and Challenges
  • NLP Fundamentals: Text Preprocessing, Tokenization, Stemming, Lemmatization
  • Text Classification, Sentiment Analysis, and Topic Modeling
  • Advanced NLP Techniques: Word Embeddings, Transformers, BERT, GPT
  • Tools for Text Mining and NLP: NLTK, SpaCy, Gensim
8. Data Visualization Using Tableau:
  • Introduction to Tableau: Overview and Installation
  • Connecting to Data Sources in Tableau
  • Creating Basic Visualizations: Bar Charts, Line Charts, Pie Charts
  • Advanced Visualizations: Heat Maps, Tree Maps, Scatter Plots
  • Building Interactive Dashboards and Storytelling with Data
  • Deep Dive into Tableau Features and Functionalities
  • Advanced Data Manipulation and Calculations in Tableau
  • Using Tableau for Exploratory Data Analysis
  • Integrating Tableau with Other Data Science Tools
  • Best Practices for Effective Data Visualization and Presentation

What They Say About Us

Amanda Nate

Designation - Data Analyst

 

Trustpilot

The certification has boosted my professional credibility and helped me gain recognition in the industry. The exam covered a wide range of topics, and passing it gave me a sense of accomplishment. This certification is a valuable asset for any data science professional.

Jason Kim

Designation - Data Scientist

 

Trustpilot

I can confidently say that the GSDC Certified Data Science Professional exam was one of the most challenging exams I've ever taken. But the sense of pride I felt after passing it made it all worth it. This certification has given me an edge in the job market and helped me secure a higher-paying job. If you want to showcase your data science skills, this is the certification to get.

Laura Chen

Designation - Machine Learning Engineer

 

Trustpilot

The GSDC Certified Data Science Professional exam wasn't just a certification, it was a journey. It tested my knowledge and skills in a way that few other exams have. But when I received my certification, I felt like I had truly earned it. This certification has opened up new job opportunities and helped me advance in my career. If you're serious about data science, this certification is a must-have.

Target Audience Of CDSP Certification

  •   IT Professionals
  •   Software Professionals
  •   ITSM Professionals
  •   Graduates who want to begin their career in Data Science.
  •   Data analysis professionals
  •   Anyone, who wants to gain their expertise in data science

Pre-requisites For Data Science Certification

  • There are no particular pre-requisites for this certification.
  • Knowledge of business domains and data analysis will be beneficiary.

AI-Based Interview Practice Platform

  • Engage With Real Time AI Interview Questions.
  • Practice Questions Tailored with Your Expertise.
  • Validate your Knowledge of subject Matter.

Capstone Project

  • Apply Your Skills in Real World Scenario.
  • Learn Methodologies Aligned to Your Expertise.
  • Validate Skills and Knowledge Gained through the Certification.
  • Showcase Expertise via a Capstone Project.

Exam Details Of Data Science Certification

Exam Questions

40

Exam Format

Multiple choice

Language

English

Passing Score

65%

Duration

90 min

Open Book

No

Certification Validity

Lifetime

Complimentary Retake

Yes

Sample Certification

About Data Science Certification

The GSDC Certified Data Science Professional certification is a well-known and highly desired certification for data science professionals. It proves that individuals have the necessary skills and expertise in data science. Data Science certification is for people who already know a lot about data science and want to show they can apply their knowledge in real-world situations.

Getting certified by GSDC shows that a person is committed to keeping up with the latest developments in the field and can handle difficult data challenges. It also helps them stand out and advance their career in the fast-changing world of data science.

Enrollment-Options

SINGLE

Fast-track your career by learning a new skill and earning a certificate

100.0
  • Two Exam Attempts
  • Lifetime Valid Certification
  • Learning Library Access
  • Downloadable Resources
  • GSDC Membership

Frequently Asked Questions

1. How Do I Register for Data Science Certification?

Register Your Interest by clicking on this link: Register Now

2. Who is the intended audience for the GSDC Certified Data Science Professional certification?

The GSDC Certified Data Science Professional certification is ideal for individuals looking to establish themselves as data science professionals, such as data analysts, data engineers, data scientists, and business analysts. It is also suitable for professionals seeking to improve their data science knowledge and skills.

3. What is the GSDC Data Science Professional Certificate, and what are its advantages?

The GSDC Certified Data Science Professional is one of the best certifications available for data science professionals. It is a recognized industry certification that validates a data science professional's knowledge and skills. The certification exam covers data science concepts such as data cleaning, statistical analysis, machine learning, data visualization, and data communication. The benefits of this certification include better job prospects, higher salaries, and recognition as a data science expert.

4. What are the employment prospects for those holding the GSDC Data Science Professional certification?

The demand for data scientist certification is growing at an accelerated rate, making the job prospects for individuals holding the GSDC Data Science Professional certification excellent. CDSP certification can help professionals in various job roles such as data analysts, data scientists, data engineers, machine learning engineers, and business analysts.

5. What is the significance of the GSDC Data Science Professional certificate in the industry?

The GSDC Data Science Professional certification is crucial in the industry because it validates the knowledge and skills required for data science professionals. The certification covers topics such as statistical analysis, machine learning, data visualization, and data communication, making it an asset for professionals seeking to establish themselves as experts in the field.

6. How long is the GSDC Certified Data Science Professional valid for?

By choosing a GSDC certification, you can be confident that it will remain valid for your professional career, without needing any renewal or fees.

7. What advantages does the GSDC Certified Data Science Professional provide to an organization?

The GSDC Data Science Certifications provide several benefits to organizations. The certification ensures that the organization has skilled and knowledgeable data science professionals who can effectively analyze and communicate data. It also enhances the organization's credibility and reputation by showcasing its commitment to data science excellence. Finally, it helps organizations attract and retain top talent in the data science field.

Why GSDC ?

The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:

  • Advisory board members and SMEs are from around the world, drawn from different specializations.

  • Supported by the world's most esteemed thought leaders from Yale, MIT, Stanford, Wharton, and Harvard.

  • Hub of Trending Technologies and framework certifications.

  • Content curated by Industry's best Subject matter experts.

  • Webinars and Conferences.

  • Training Partners Across The Globe.

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